Renato De Leone

School of Science and Technology
University of Camerino

Fields of interest

Operations Research, Network optimization, Classification, Neural networks, Learning Machine

Recent publications

R. De Leone, M. Pietrini, and A. Giovannelli. Photovoltaic energy production forecast using support vector regression, 2015. Neural Computing and Applications, to appear.

S. Silvi, M.C. Verdenelli, C. Cecchini, M.M. Coman, M.S. Bernabei, J. Rosati, R. De Leone, C. Orpianesi, and A. Cresci. Probiotic-enriched foods and dietary supplement containing synbio positively affects bowel habits in healthy adults: an assessment using standard statistical analysis and support vector machines. International Journal of Food Sciences and Nutrition, 2014.

R. Cerulli, R. De Leone, and M. Gentili. Finding pattern configurations for bank cheque printing. Procedia: Social & Behavioral Sciences, 108:219–234, 2014.

R. De Leone and V. Minnetti. The estimation of the parameters in multi-criteria classification problem: The case of the electre tri method. In Donatella Vicari, Akinori Okada, Giancarlo Ragozini, and Claus Weihs, editors, Analysis and Modeling of Complex Data in Behavioral and Social Sciences, Studies in Classification, Data Analysis, and Knowledge Organization, pages 93–101. Springer International Publishing, 2014.

S. De Cosmis, R. De Leone, E. Kropat, S. Meyer-Nieberg, and S. Pickl. Electric load forecasting using support vector machines for robust regression. In Proceedings of the Emerging M&S Applications in Industry & Academia / Modeling and Humanities Symposium, EAIA and MatH ’13, pages 9:1–9:8, San Diego, CA, USA, 2013. Society for Computer Simulation International.

C Lucheroni and R. De Leone. Panel modelling of electricity prices: Linear and nonlinear regression approaches2013 10th international conference on the european energy market (eem). In 2013 10th InternationalConference on the European Energy Market (EEM), pages 1–8, Piscataway, NJ, USA – USA, 27-31 May 2013. IEEE Institute of Electrical and Electronics Eng.

S. De Cosmis and R. De Leone. The use of grossone in mathematical programming and operations research. Applied Mathematics and Computation, 218(16):8029–8038, 2012.

Renato De Leone, Paola Festa, and Emilia Marchitto. A bus driver scheduling problem: a new mathematical model and a grasp approximate solution. Journal of Heuristics, 17:441–466, 2011.

R. De Leone, P. Festa, and E. Marchitto. Solving a bus driver scheduling problem with randomized multistart heuristics. International Transactions in Operational Research, 18(6):707–727, 2011.

R. De Leone. Support vector regression for time series analysis. In Operations Research Proceedings 2010, pages 33–38, Berlin, 3, 2010 2011. Springer.